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An Unsupervised Approach to Analyze Users Opinion on Products using Customer Reviews

Author(s): Ravi Kumar V | K Raghuveer

Journal: International Journal of Computer Science Issues
ISSN 1694-0784

Volume: 8;
Issue: 4;
Start page: 380;
Date: 2011;
Original page

Keywords: Document Classification | Opinion Identification | Product analysis | Semantic Orientation | IJCSI

Opinions are very much essential for any organization's development and success. It affects the quality of various products in a great way and will indicate how much the customer has satisfied with the product along with its strength and weakness. There are a number of ways of collecting opinions; it may be through a feedback register, or through forums and other online feedback survey facilities. The opinions are monitored and are used for improving the productivity of the product on which the opinion is received. After collecting opinions, it is important to analyze them. So we need a proper automated tool that can actually read through the comments and classify them according to the needs. The tool should be capable of going through a large set of comments in a short time and should be efficient enough to recognize almost any sentence we can throw at it.

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